Profile Report Diabete

Brought to you by YData

Dataset statistics

Number of variables	9
Number of observations	768
Missing cells	390
Missing cells (%)	5.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	54.1 KiB
Average record size in memory	72.2 B

Variable types

Numeric	8
Categorical	1

Alerts

`Age` is highly overall correlated with `Pregnancies`	High correlation
`Glucose` is highly overall correlated with `Insulin`	High correlation
`Insulin` is highly overall correlated with `Glucose`	High correlation
`Pregnancies` is highly overall correlated with `Age`	High correlation
`Insulin` has 374 (48.7%) missing values	Missing
`BMI` has 11 (1.4%) missing values	Missing
`Pregnancies` has 111 (14.5%) zeros	Zeros
`BloodPressure` has 35 (4.6%) zeros	Zeros
`SkinThickness` has 227 (29.6%) zeros	Zeros

Reproduction

Analysis started	2025-04-04 00:28:20.173426
Analysis finished	2025-04-04 00:28:38.194149
Duration	18.02 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Pregnancies
Real number (ℝ)

High correlation Zeros

Distinct	17
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.8450521

Minimum	0
Maximum	17
Zeros	111
Zeros (%)	14.5%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3695781
Coefficient of variation (CV)	0.87634133
Kurtosis	0.15921978
Mean	3.8450521
Median Absolute Deviation (MAD)	2
Skewness	0.90167398
Sum	2953
Variance	11.354056
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	135	17.6%
0	111	14.5%
2	103	13.4%
3	75	9.8%
4	68	8.9%
5	57	7.4%
6	50	6.5%
7	45	5.9%
8	38	4.9%
9	28	3.6%
Other values (7)	58	7.6%

Value	Count	Frequency (%)
0	111	14.5%
1	135	17.6%
2	103	13.4%
3	75	9.8%
4	68	8.9%
5	57	7.4%
6	50	6.5%
7	45	5.9%
8	38	4.9%
9	28	3.6%

Value	Count	Frequency (%)
17	1	0.1%
15	1	0.1%
14	2	0.3%
13	10	1.3%
12	9	1.2%
11	11	1.4%
10	24	3.1%
9	28	3.6%
8	38	4.9%
7	45	5.9%

Glucose
Real number (ℝ)

High correlation

Distinct	135
Distinct (%)	17.7%
Missing	5
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	121.68676

Minimum	44
Maximum	199
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	44
5-th percentile	80
Q1	99
median	117
Q3	141
95-th percentile	181
Maximum	199
Range	155
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	30.535641
Coefficient of variation (CV)	0.25093642
Kurtosis	-0.27703971
Mean	121.68676
Median Absolute Deviation (MAD)	20
Skewness	0.53098853
Sum	92847
Variance	932.42538
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	17	2.2%
100	17	2.2%
111	14	1.8%
125	14	1.8%
129	14	1.8%
106	14	1.8%
102	13	1.7%
105	13	1.7%
112	13	1.7%
95	13	1.7%
Other values (125)	621	80.9%

Value	Count	Frequency (%)
44	1	0.1%
56	1	0.1%
57	2	0.3%
61	1	0.1%
62	1	0.1%
65	1	0.1%
67	1	0.1%
68	3	0.4%
71	4	0.5%
72	1	0.1%

Value	Count	Frequency (%)
199	1	0.1%
198	1	0.1%
197	4	0.5%
196	3	0.4%
195	2	0.3%
194	3	0.4%
193	2	0.3%
191	1	0.1%
190	1	0.1%
189	4	0.5%

BloodPressure
Real number (ℝ)

Zeros

Distinct	47
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	69.105469

Minimum	0
Maximum	122
Zeros	35
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	38.7
Q1	62
median	72
Q3	80
95-th percentile	90
Maximum	122
Range	122
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	19.355807
Coefficient of variation (CV)	0.28009082
Kurtosis	5.1801566
Mean	69.105469
Median Absolute Deviation (MAD)	8
Skewness	-1.843608
Sum	53073
Variance	374.64727
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	57	7.4%
74	52	6.8%
78	45	5.9%
68	45	5.9%
72	44	5.7%
64	43	5.6%
80	40	5.2%
76	39	5.1%
60	37	4.8%
0	35	4.6%
Other values (37)	331	43.1%

Value	Count	Frequency (%)
0	35	4.6%
24	1	0.1%
30	2	0.3%
38	1	0.1%
40	1	0.1%
44	4	0.5%
46	2	0.3%
48	5	0.7%
50	13	1.7%
52	11	1.4%

Value	Count	Frequency (%)
122	1	0.1%
114	1	0.1%
110	3	0.4%
108	2	0.3%
106	3	0.4%
104	2	0.3%
102	1	0.1%
100	3	0.4%
98	3	0.4%
96	4	0.5%

SkinThickness
Real number (ℝ)

Zeros

Distinct	51
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.536458

Minimum	0
Maximum	99
Zeros	227
Zeros (%)	29.6%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	23
Q3	32
95-th percentile	44
Maximum	99
Range	99
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	15.952218
Coefficient of variation (CV)	0.77677549
Kurtosis	-0.52007187
Mean	20.536458
Median Absolute Deviation (MAD)	12
Skewness	0.1093725
Sum	15772
Variance	254.47325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	227	29.6%
32	31	4.0%
30	27	3.5%
27	23	3.0%
23	22	2.9%
18	20	2.6%
33	20	2.6%
28	20	2.6%
31	19	2.5%
39	18	2.3%
Other values (41)	341	44.4%

Value	Count	Frequency (%)
0	227	29.6%
7	2	0.3%
8	2	0.3%
10	5	0.7%
11	6	0.8%
12	7	0.9%
13	11	1.4%
14	6	0.8%
15	14	1.8%
16	6	0.8%

Value	Count	Frequency (%)
99	1	0.1%
63	1	0.1%
60	1	0.1%
56	1	0.1%
54	2	0.3%
52	2	0.3%
51	1	0.1%
50	3	0.4%
49	3	0.4%
48	4	0.5%

Insulin
Real number (ℝ)

High correlation Missing

Distinct	185
Distinct (%)	47.0%
Missing	374
Missing (%)	48.7%
Infinite	0
Infinite (%)	0.0%
Mean	155.54822

Minimum	14
Maximum	846
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	14
5-th percentile	41.65
Q1	76.25
median	125
Q3	190
95-th percentile	395.5
Maximum	846
Range	832
Interquartile range (IQR)	113.75

Descriptive statistics

Standard deviation	118.77586
Coefficient of variation (CV)	0.76359506
Kurtosis	6.3705218
Mean	155.54822
Median Absolute Deviation (MAD)	55
Skewness	2.1664638
Sum	61286
Variance	14107.704
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
105	11	1.4%
130	9	1.2%
140	9	1.2%
120	8	1.0%
94	7	0.9%
180	7	0.9%
100	7	0.9%
110	6	0.8%
115	6	0.8%
135	6	0.8%
Other values (175)	318	41.4%
(Missing)	374	48.7%

Value	Count	Frequency (%)
14	1	0.1%
15	1	0.1%
16	1	0.1%
18	2	0.3%
22	1	0.1%
23	2	0.3%
25	1	0.1%
29	1	0.1%
32	1	0.1%
36	3	0.4%

Value	Count	Frequency (%)
846	1	0.1%
744	1	0.1%
680	1	0.1%
600	1	0.1%
579	1	0.1%
545	1	0.1%
543	1	0.1%
540	1	0.1%
510	1	0.1%
495	2	0.3%

BMI
Real number (ℝ)

Missing

Distinct	247
Distinct (%)	32.6%
Missing	11
Missing (%)	1.4%
Infinite	0
Infinite (%)	0.0%
Mean	32.457464

Minimum	18.2
Maximum	67.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	18.2
5-th percentile	22.2
Q1	27.5
median	32.3
Q3	36.6
95-th percentile	44.5
Maximum	67.1
Range	48.9
Interquartile range (IQR)	9.1

Descriptive statistics

Standard deviation	6.9249883
Coefficient of variation (CV)	0.21335581
Kurtosis	0.86337903
Mean	32.457464
Median Absolute Deviation (MAD)	4.6
Skewness	0.59396975
Sum	24570.3
Variance	47.955463
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	13	1.7%
31.6	12	1.6%
31.2	12	1.6%
32.4	10	1.3%
33.3	10	1.3%
32.9	9	1.2%
30.1	9	1.2%
30.8	9	1.2%
32.8	9	1.2%
33.6	8	1.0%
Other values (237)	656	85.4%
(Missing)	11	1.4%

Value	Count	Frequency (%)
18.2	3	0.4%
18.4	1	0.1%
19.1	1	0.1%
19.3	1	0.1%
19.4	1	0.1%
19.5	2	0.3%
19.6	3	0.4%
19.9	1	0.1%
20	1	0.1%
20.1	1	0.1%

Value	Count	Frequency (%)
67.1	1	0.1%
59.4	1	0.1%
57.3	1	0.1%
55	1	0.1%
53.2	1	0.1%
52.9	1	0.1%
52.3	2	0.3%
50	1	0.1%
49.7	1	0.1%
49.6	1	0.1%

DiabetesPedigreeFunction
Real number (ℝ)

Distinct	517
Distinct (%)	67.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.4718763

Minimum	0.078
Maximum	2.42
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0.078
5-th percentile	0.14035
Q1	0.24375
median	0.3725
Q3	0.62625
95-th percentile	1.13285
Maximum	2.42
Range	2.342
Interquartile range (IQR)	0.3825

Descriptive statistics

Standard deviation	0.3313286
Coefficient of variation (CV)	0.70215138
Kurtosis	5.5949535
Mean	0.4718763
Median Absolute Deviation (MAD)	0.1675
Skewness	1.9199111
Sum	362.401
Variance	0.10977864
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.258	6	0.8%
0.254	6	0.8%
0.207	5	0.7%
0.261	5	0.7%
0.259	5	0.7%
0.238	5	0.7%
0.268	5	0.7%
0.27	4	0.5%
0.263	4	0.5%
0.304	4	0.5%
Other values (507)	719	93.6%

Value	Count	Frequency (%)
0.078	1	0.1%
0.084	1	0.1%
0.085	2	0.3%
0.088	2	0.3%
0.089	1	0.1%
0.092	1	0.1%
0.096	1	0.1%
0.1	1	0.1%
0.101	1	0.1%
0.102	1	0.1%

Value	Count	Frequency (%)
2.42	1	0.1%
2.329	1	0.1%
2.288	1	0.1%
2.137	1	0.1%
1.893	1	0.1%
1.781	1	0.1%
1.731	1	0.1%
1.699	1	0.1%
1.698	1	0.1%
1.6	1	0.1%

Age
Real number (ℝ)

High correlation

Distinct	52
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33.240885

Minimum	21
Maximum	81
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	29
Q3	41
95-th percentile	58
Maximum	81
Range	60
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.760232
Coefficient of variation (CV)	0.35378816
Kurtosis	0.64315889
Mean	33.240885
Median Absolute Deviation (MAD)	7
Skewness	1.1295967
Sum	25529
Variance	138.30305
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	72	9.4%
21	63	8.2%
25	48	6.2%
24	46	6.0%
23	38	4.9%
28	35	4.6%
26	33	4.3%
27	32	4.2%
29	29	3.8%
31	24	3.1%
Other values (42)	348	45.3%

Value	Count	Frequency (%)
21	63	8.2%
22	72	9.4%
23	38	4.9%
24	46	6.0%
25	48	6.2%
26	33	4.3%
27	32	4.2%
28	35	4.6%
29	29	3.8%
30	21	2.7%

Value	Count	Frequency (%)
81	1	0.1%
72	1	0.1%
70	1	0.1%
69	2	0.3%
68	1	0.1%
67	3	0.4%
66	4	0.5%
65	3	0.4%
64	1	0.1%
63	4	0.5%

Outcome
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.1 KiB

0	500
1	268

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	768
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring characters

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	768	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	768	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	768	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	500	65.1%
1	268	34.9%

	Age	BMI	BloodPressure	DiabetesPedigreeFunction	Glucose	Insulin	Outcome	Pregnancies	SkinThickness
Age	1.000	0.121	0.351	0.043	0.283	0.267	0.314	0.607	-0.067
BMI	0.121	1.000	0.282	0.136	0.228	0.304	0.317	0.000	0.434
BloodPressure	0.351	0.282	1.000	0.030	0.235	0.130	0.152	0.185	0.126
DiabetesPedigreeFunction	0.043	0.136	0.030	1.000	0.091	0.130	0.173	-0.043	0.180
Glucose	0.283	0.228	0.235	0.091	1.000	0.659	0.481	0.130	0.067
Insulin	0.267	0.304	0.130	0.130	0.659	1.000	0.355	0.128	0.245
Outcome	0.314	0.317	0.152	0.173	0.481	0.355	1.000	0.235	0.208
Pregnancies	0.607	0.000	0.185	-0.043	0.130	0.128	0.235	1.000	-0.085
SkinThickness	-0.067	0.434	0.126	0.180	0.067	0.245	0.208	-0.085	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	Pregnancies	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
0	6	148.0	72	35	NaN	33.6	0.627	50	1
1	1	85.0	66	29	NaN	26.6	0.351	31	0
2	8	183.0	64	0	NaN	23.3	0.672	32	1
3	1	89.0	66	23	94.0	28.1	0.167	21	0
4	0	137.0	40	35	168.0	43.1	2.288	33	1
5	5	116.0	74	0	NaN	25.6	0.201	30	0
6	3	78.0	50	32	88.0	31.0	0.248	26	1
7	10	115.0	0	0	NaN	35.3	0.134	29	0
8	2	197.0	70	45	543.0	30.5	0.158	53	1
9	8	125.0	96	0	NaN	NaN	0.232	54	1

	Pregnancies	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
758	1	106.0	76	0	NaN	37.5	0.197	26	0
759	6	190.0	92	0	NaN	35.5	0.278	66	1
760	2	88.0	58	26	16.0	28.4	0.766	22	0
761	9	170.0	74	31	NaN	44.0	0.403	43	1
762	9	89.0	62	0	NaN	22.5	0.142	33	0
763	10	101.0	76	48	180.0	32.9	0.171	63	0
764	2	122.0	70	27	NaN	36.8	0.340	27	0
765	5	121.0	72	23	112.0	26.2	0.245	30	0
766	1	126.0	60	0	NaN	30.1	0.349	47	1
767	1	93.0	70	31	NaN	30.4	0.315	23	0

Overview

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample